Team Lead – AI/ML

Techversantinfotech; Ernakulam; On-site; INR 1,200,000 - 1,500,000; Full time

Benefits offered by this job

Family medical insurance

Unique leave benefits

Flexible work timings

Company-sponsored international tours

Internal employee rewards programs

Job summary

Techversantinfotech in Ernakulam, India is looking for a highly skilled AI/ML Lead to oversee the design and implementation of advanced AI/ML solutions. The ideal candidate should have strong proficiency in Python and SQL, alongside experience with various ML algorithms and frameworks. Responsibilities include building AI/ML architectures, collaborating with cross-functional teams, and ensuring project requirements are met.

The company offers excellent career growth, family medical insurance, flexible work timings, and opportunities for international tours, along with unique leave benefits and rewards programs.

Qualifications

• Lead the design and implementation of AI/ML solutions.
• Strong proficiency in Python and SQL required.
• Experience in production software engineering routines.

Responsibilities

• Build solutions using deep learning and computer vision.
• Develop scalable AI/ML systems in cloud architectures.
• Collaborate with teams to specify project goals and requirements.

Skills

Python

SQL

NoSQL databases

DevOps/MLOps

Machine Learning Algorithms

Deep Learning Tools (Pandas, NumPy, scikit-learn)

Cloud-based Solutions (AWS, Azure, GCP)

AI/ML frameworks (MXNET, TensorFlow)

Education

B.Tech/M.Tech/Ph.D in CS/IS/IT or MSc in Statistics, MCA

Tools

TensorFlow

PyTorch

Job description

What’s important to us

Techversant is seeking a highly skilled and experienced AI/ML Lead to lead the design and implementation of our artificial intelligence and machine learning solutions. The successful candidate will work closely with cross‑functional teams to understand business requirements and develop scalable, efficient, and robust AI/ML systems.

Job Description

• Build solutions based on deep learning, reinforcement learning, computer vision, expert systems, transfer learning, NLP, and generative models.
• Define, design, and deliver ML architecture patterns operable in native and hybrid cloud architectures.
• Implement machine learning algorithms in services and pipelines that can be used on a web scale.
• Create demos and proofs of concept, develop AI/ML based products and services.
• Write functional and technical specifications for AI & ML solutions.
• Follow SDLC processes.
• Apply advanced analytical knowledge of data and data conditioning.
• Program advanced computing and develop algorithms.
• Develop software, data models and execute predictive analysis.
• Design, develop, and implement generative AI models using state‑of‑the‑art techniques.
• Collaborate with cross‑functional teams to define project goals, research requirements and develop innovative solutions.
• Have strong proficiency in Python (must) and R or Scala (plus).
• Have strong proficiency in SQL and NoSQL databases.
• Implement and deploy AI/ML solutions using models such as CNN, RNN, fuzzy logic, Q‑learning, SVM, ensemble, logistic regression, random forest, etc.
• Specialize in at least one AI/ML stack, frameworks, and tools like MXNET and TensorFlow.
• Have hands‑on experience with data analytics and classical machine learning, deep learning tools (Pandas, NumPy, scikit‑learn) and deep learning frameworks (TensorFlow, PyTorch).

Preferred Skills

• Experience with production software engineering routines in DevOps/MLOps (continuous code integration and deployment).
• Experience with cloud‑based solutions such as AWS, Azure, GCP.

Experience and Qualification

• B.Tech/M.Tech/Ph.D in CS/IS/IT or MSc in Statistics, MCA.

What Company Offers

Excellent career growth opportunities and exposure to multiple technologies.

Fixed weekday day schedule, meaning you’ll have your weekends off.

Family medical insurance.

Unique leave benefits and encashment options based on performance.

Long‑term growth opportunities.

Fun family environment surrounded by experienced developers.

Various internal employee rewards programs based on performance.

Opportunities for various other bonus programs – for training hours taken, certifications, special value to business through idea and innovation.

Work‑life balance – flexible work timings, early out Fridays, various social and cultural activities.

Company-sponsored international tours.