Lead NLP Engineer is an on-site opening based out of Rushikonda IT SEZ in Visakhapatnam, Andhra Pradesh, working within a data science and machine learning group. The role is full-time and pays up to 224,500 INR per month, and it sits at the senior end of the team, meaning the person hired will shape how language-processing systems get built rather than just execute against someone else's spec.
What the role actually involves
The day-to-day work centers on building and training predictive models, then keeping them useful once they're live. Analysts and product teams bring questions that only large, messy datasets can answer, and a good chunk of the job is turning that raw data into something a model can actually learn from. Once a model performs well in testing, it still has to survive exposure to production traffic, so deployment and the monitoring that follows are treated as part of the same job, not as an afterthought handed to someone else.
- Build, train, and evaluate machine learning and NLP models against real business questions
- Analyze large, often unstructured datasets to extract insights that inform product and modeling decisions
- Deploy trained models into production systems and own their handoff to live traffic
- Monitor model performance over time, catching drift or degradation before it affects downstream users
- Set technical direction for NLP work on the team and review the modeling choices of less senior engineers
That last point is where the "lead" in the title actually shows up. Someone at this level is expected to have opinions about architecture choices and to defend them in a room, not just implement whatever gets handed down.
Qualifications
A bachelor's degree in computer science, statistics, or another quantitative field is the baseline. Beyond the degree itself, employers hiring for this seniority level want to see a portfolio of applied machine learning projects or published research, plus real hands-on experience building and deploying models using Python and standard ML frameworks. Candidates with around 132 months of relevant experience are typically well matched to what the role expects, since it takes that long to develop the judgment that lead-level responsibilities assume. Naukri Mitra lists this alongside similar data science and NLP roles for candidates researching what a lead engineer position in Visakhapatnam entails and what it pays.
On the education side, a bachelor's degree covers the minimum bar here. A candidate with an advanced degree isn't disqualified by having "too much" schooling, but nothing beyond the bachelor's is treated as a strict requirement.
Skills
The core toolkit for this position is fairly specific to language-focused ML work.
- Strong Python skills, since most of the modeling and tooling work runs through it
- Hands-on experience with NLP libraries such as spaCy and NLTK
- Solid grounding in machine learning fundamentals, not just familiarity with a handful of libraries
- Working knowledge of linguistics basics, which shapes how text gets tokenized, tagged, and modeled in the first place
Beyond the required set, a few things separate a strong applicant from an average one. Exposure to transformer-based architectures like BERT or GPT-style models tends to matter for anyone doing modern NLP work, and familiarity with an MLOps tool such as MLflow or a containerization tool like Docker makes the deployment half of the job easier to hand off. Prior work with a cloud platform, whether AWS or GCP, is treated as a plus rather than a requirement, and so is any background in information retrieval or speech processing, since those adjacent fields overlap with production NLP more often than people expect.
What working here is like
This is an on-site role at Rushikonda IT SEZ, so the person hired will be physically present with the rest of the data science team most working days. That has specific upsides for a lead position: model reviews, architecture debates, and mentoring conversations happen faster in person than over a chat thread. It also means the demanding stretches, the weeks where a production model starts drifting and needs a same-day fix, get handled shoulder to shoulder with the rest of the team rather than solo. Anyone weighing NLP engineer jobs in Visakhapatnam against fully remote options should factor that trade-off directly, since it's a real difference in how the work feels day-to-day, not just a line in a posting.
Benefits
- Health insurance coverage
- Paid time off
- Performance-linked bonuses tied to model outcomes and delivery
- Relocation assistance for candidates moving to Visakhapatnam for the role
- Accommodation support during the transition period
The relocation and accommodation pieces are worth noting for anyone outside Andhra Pradesh considering this listing. Because the role is on-site, employers in this location commonly build that support into the offer rather than treating it as a negotiable extra.
Compensation
Pay for this position ranges up to 224,500 INR monthly, placing it toward the higher end for NLP engineer roles in the city, given the seniority and lead-level expectations attached to it. Candidates researching NLP engineer salary figures in Visakhapatnam should treat this as representative of what a lead-track position pays locally, rather than an entry-level benchmark.
How to apply
Interested candidates should apply directly through the listing with an updated resume and, where available, links to relevant projects or published work. Applications that speak specifically to production NLP experience, rather than a general machine learning background alone, tend to move through the review process faster, given how the role is scoped.
