Mh Research engineer (natural language processing) Jobs – 23 Open Jobs Today

Lead Software Engineer – AI
TSS Consultancy Pvt. Ltd. —Unknown, Maharashtra
- Full-time
- Computer Science
- DevOps
- Java
Quick apply
Senior AI Full stack Developer
Innovecture —Pune, Maharashtra
- Azure
- Master's degree
- Databases
Quick apply

More jobs to discover

Find similar jobs that you might be interested in.

Senior MERN Stack Developer
Sendvise —Nashik, Maharashtra
They should be comfortable working across frontend and backend, collaborate effectively with cross-functional teams and continuously improve application…
₹3,60,000 - ₹4,80,000 a year
Quick apply
3d
Senior AI Full stack Developer
Innovecture —Pune, Maharashtra
Building awareness around the challenges and the best practices that are involved in working with AI and striving to overcome them and improve their skills.
Quick apply

I want to receive the latest job alerts for research engineer (natural language processing) in mh

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

research engineer (natural language processing) jobs near mh

Full Stack Developer jobs in Pune, Maharashtra

Bcs, Developer, Fresher jobs in Pune, Maharashtra

Full Stack Developer jobs in Ahmedabad G.p.o., Ahmedabad, Gujarat

Full Stack Developer jobs in Jayanagar, Bengaluru, Karnataka

Full Time jobs in Kichha, Uttarakhand

Full Stack Developer jobs in Kottayam, Kerala

Full Stack Developer jobs in Dlf Ph Iii, Gurugram, Haryana

Full Time jobs in Chennai, Tamil Nadu

Lead Software Engineer – AI

TSS Consultancy Pvt. Ltd. -
Unknown, Maharashtra

Quick apply

Job details

Full-time

Qualifications

TensorFlow
CI/CD
Image processing
Go
Node.js
Computer Science
Kubernetes
Multilingual
Computer vision
DevOps
Git
Java
Master's degree
Microservices
Project management
Docker
Bachelor's degree
Machine learning
Continuous integration
REST
Natural language processing
GitHub
APIs
AI
Leadership
Jenkins
Communication skills
Python

Full job description

Company Description

About the Company:

TSS Consultancy is a rapidly growing product-based company dedicated to delivering comprehensive solutions tailored to the unique needs of Fintech and Regtech organizations. Our mission is to fight financial crime through innovation and expertise. With a keen understanding of the market, we have developed cutting-edge products that set us apart in the industry.
Our commitment to excellence has earned us the trust and partnership of some of the most prestigious institutions. We proudly serve 9 out of the top 10 brokers, 4 out of the top 5 private sector banks, and 3 out of the top 4 exchanges. Our client portfolio extends further, including leading financial institutions and regulatory bodies, reinforcing our reputation as a reliable and forward-thinking partner.
We have our vibrant offices in the cities of Mumbai, Rajkot and Gandhinagar. In our growing presence we currently have our clients across India, South Africa and USA.

Visit our website: www.trackwizz.com to know more about us.

Job Description

The Opportunity:

TSS Consultancy PVT LTD is seeking an experienced and dynamic Lead Software Engineer – AI to spearhead our cross-functional AI engineering team. In this pivotal role, you will be responsible for leading the development and deployment of cutting-edge AI-powered solutions across various domains, including computer vision, natural language processing (NLP), and predictive modeling. You will architect scalable AI systems, champion the adoption of MLOps best practices, and provide guidance and mentorship to a talented team of engineers. This is a full-time position based in one of our key technology centers: Mumbai, Rajkot, or Ahmedabad, and you will report directly to the Head of Engineering / CTO.

Key Responsibilities:

AI Product Development:

Lead the end-to-end lifecycle of AI-powered solutions, encompassing computer vision, NLP, and predictive modeling.
Drive the development of innovative use cases in areas such as image enhancement, document intelligence, entity extraction, and automated data validation.
Apply advanced deep learning techniques, transformer architectures, and foundation model fine-tuning to build scalable solutions for real-world applications.
Design and architect robust and scalable AI services, seamlessly integrating them via REST APIs and microservices.
Proactively explore and evaluate cutting-edge technologies in the AI landscape, including generative AI, multilingual AI, and biometric verification, to identify potential applications.

MLOps & AI Engineering:

Build and maintain robust CI/CD pipelines specifically tailored for model training, deployment, and rigorous testing.
Implement comprehensive automation for model monitoring, retraining workflows, and ensure end-to-end traceability for both models and datasets.
Leverage industry-standard MLOps tools such as MLflow, Kubeflow, Airflow, Docker, and Kubernetes to facilitate production-grade deployment and management of AI systems.

NLP & Language Model Applications:

Lead the research, development, and proof-of-concept (PoC) efforts for domain-specific language models.
Implement state-of-the-art transformer-based architectures to address complex NLP tasks, including text summarization, semantic search, and question-answering (QA) systems.
Expertly fine-tune large language models (LLMs) to extract valuable insights from unstructured data sources.
Strategically integrate NLP modules into core business workflows and real-time operational systems.

Engineering Leadership:

Provide effective mentorship and guidance to a team of skilled machine learning engineers and software developers, fostering their professional growth.
Collaborate closely with cross-functional stakeholders, including product managers and business analysts, to define product vision and contribute to the engineering roadmap.
Take ownership of sprint planning, ensure timely and high-quality delivery of AI solutions, and conduct thorough code and architecture reviews.

What We're Looking For:

Required Technical Skills:

A minimum of 5 years of hands-on experience in AI/ML development, with demonstrable expertise in:
- Computer Vision: (e.g., Optical Character Recognition (OCR), Deepfake Detection)
- Natural Language Processing (NLP): (e.g., Text Parsing, Transformer Networks, GPT fine-tuning)
- Machine Learning Frameworks: PyTorch, TensorFlow, Hugging Face Transformers library
- MLOps Tools: MLflow, Kubeflow, Airflow, Docker, Kubernetes
Strong proficiency in Python programming; familiarity with Java, Go, or Node.js is considered a plus.
Solid understanding and practical experience with RESTful APIs and microservices architecture.
Proven experience with DevOps tools and practices, including Jenkins, GitHub Actions, Prometheus, and Grafana.

Leadership Skills:

Demonstrated success in leading and managing teams of 5 to 10 engineers, fostering a collaborative and high-performing environment.
Excellent communication skills, both written and verbal, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
Strong project management skills, with a track record of delivering AI projects on time and within scope.
The ability to translate abstract product requirements into well-defined and scalable AI system architectures.

Qualifications

Preferred Qualifications:

Bachelor's or Master's degree (B.Tech/M.Tech) in Computer Science, Artificial Intelligence, or a related field.
Exposure to and understanding of the specific requirements and challenges within the financial or other regulated domains.
Experience working with multilingual or international datasets and the development of multilingual AI solutions.

Quick apply

Refine Your Search

research engineer (natural language processing) jobs in mh

Lead Software Engineer – AI

Senior AI Full stack Developer

More jobs to discover

I want to receive the latest job alerts for research engineer (natural language processing) in mh

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected