LABVIEW-Software Engineer

Role Overview:

Zolvit is looking for a highly skilled and self-driven Lead Machine Learning Engineer / Lead Data Scientist to lead the design and development of scalable, production-grade ML systems. This role is ideal for someone who thrives on solving complex problems using data, is deeply passionate about machine learning, and has a strong understanding of both classical techniques and modern AI systems like Large Language Models (LLMs).

You will work closely with engineering, product, and business teams to identify impactful ML use cases, build data pipelines, design training workflows, and ensure the deployment of robust, high-performance models at scale.

Key Responsibilities:

● Design and implement scalable ML systems, from experimentation to deployment.

● Build and maintain end-to-end data pipelines for data ingestion, preprocessing, feature engineering, and monitoring.

● Lead the development and deployment of ML models across a variety of use cases — including classical ML and LLM-based applications like summarization, classification, document understanding, and more.

● Define model training and evaluation pipelines, ensuring reproducibility and performance tracking.

● Apply statistical methods to interpret data, validate assumptions, and inform modeling decisions.

● Collaborate cross-functionally with engineers, data analysts, and product managers to solve high-impact business problems using ML.

● Ensure proper MLOps practices are in place for model versioning, monitoring, retraining, and performance management.

● Keep up-to-date with the latest advancements in AI/ML, and actively evaluate and incorporate LLM capabilities and frameworks into solutions.

● Mentor junior ML engineers and data scientists, and help scale the ML function across the organization.

Required Qualifications:

● 7+ years of hands-on experience in ML/AI, building real-world ML systems at scale.

● Proven experience with classical ML algorithms (e.g., regression, classification,

clustering, ensemble models).

● Deep expertise in modern LLM frameworks (e.g., OpenAI, HuggingFace, LangChain)

and their integration into production workflows.

● Strong experience with Python, and frameworks such as Scikit-learn, TensorFlow,

PyTorch, or equivalent.

● Solid background in statistics and the ability to apply statistical thinking to real-world

problems.

● Experience with data engineering tools and platforms (e.g., Spark, Airflow, SQL,

Pandas, AWS Glue, etc.).

● Familiarity with cloud services (AWS preferred) and containerization tools (Docker,

Kubernetes) is a plus.

● Strong communication and leadership skills, with experience mentoring and guiding

junior team members.

● Self-starter attitude with a bias for action and ability to thrive in fast-paced environments.

● Master’s degree in Machine Learning, Artificial Intelligence, Statistics, or a related

field is preferred.

Preferred Qualifications:

● Experience deploying ML systems in microservices or event-driven architectures.

● Hands-on experience with vector databases, embeddings, and retrieval-augmented

generation (RAG) systems.

● Understanding of Responsible AI principles and practices.

Why Join Us?

● Lead the ML charter in a mission-driven company solving real-world challenges.

● Work on cutting-edge LLM use cases and platformize ML capabilities for scale.

● Collaborate with a passionate and technically strong team in a high-impact environment.

● Competitive compensation, flexible working model, and ample growth opportunities.

Responsibilities:

● Responsible for user acquisition efforts end to end for mobile games and GTM strategy

and market penetration

● Collaborate with Game development team to understand the opportunities to improve

the game and thus increasing the organic installs/WOM/ virality quotient of the game

● Understanding the latest market trends and behavioral insights from UA standpoint and

feeding them back into game development team

● Identifying the areas of improvement in onboarding experiences and working with game

development team to improve those areas and thus leading to higher ROAS of the

campaigns

● Setting up accounts across leading digital ad networks and MMPs and establishing a

good relationship with the third party stakeholders

● Establishing credit lines with ad networks and cracking business deals at attractive

pricings

● Running multiple ad campaigns across various ad formats at the same time globally

● Setting up the data flow pipeline for entire UA system and building visualization layer on

top of it

● Monitoring ad campaigns across networks and games to manage paid UA scale without

hurting profitability

● Brainstorming and coming up with innovative ways to test marketing campaigns and thus

eventually cracking the mantra for success in the cluttered digital UA landscape

● Scaling up the campaigns to deliver higher installs, with good quality at an impressive

cost-per-acquisition

● Finding niche distribution channels/partners to diversify the risks involved

● Building a team of marketing Managers, Account managers, Analysts and Graphic

designers, Graphic composers/editors, and marketing communications team

● Handling performance appraisals for the team

Candidate we are looking for:

● 3+ years of digital Marketing experience. Global

markets UA knowledge would be a plus

● Hands on experience in creating campaigns, running liveops on UA and managing

marketing budgets greater than 25mn USD per annum

● Deep knowledge on dashboards of advertising platforms, MMPs and other performance

tools

● Great analytical experience to understand the performance of campaigns and ability to

drive behavioral insights through data

● Hands on experience in handling the constantly changing UA ecosystem (iOS 14 privacy

changes, GDPR, and other regulations)

● Capable to foresee behavioral patterns and convert them into unique differentiable

marketing campaigns

● Strong negotiation skills to convert new accounts, business deals, partnerships

● Ability to come up with both macro and micro opportunities and breaking down the

macro opportunities into achievable micro opportunities

● Real experience on hiring raw talent and coaching them to become rockstars in terms of

both skill and personality and eventually to become great leaders of the company.

● A personality with a strong bias towards execution without neglecting/ignoring/ affecting

values and team mates of the company

• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Familiarity with RESTful APIs to connect Android applications to back-end services
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with offline storage, threading, and performance tuning
• Ability to design applications around natural user interfaces, such as “touch”
• Familiarity with the use of additional sensors, such as gyroscopes and accelerometers
• Knowledge of the open-source Android ecosystem and the libraries available for common tasks
• Ability to understand business requirements and translate them into technical requirements
• Familiarity with cloud message APIs and push notifications

The candidate should be good in designing. He should have accurate knowledge about graphic designing. Latest technology is must. Communication skills should be good.

• Python knowledge: object-oriented programming: inheritance, abstract classes, dataclass, dependency injection, design patterns: comand-query, repository, adapter, hexagonal architecture, swagger/Open API, flask, connexion
• Experience on AWS services: lambda, ecs, sqs, s3, dynamodb, auroradb
• Experience with following libraries boto3, behave, pytest, moto, localstack, docker
• Basic knowledge about terraform, gitlab ci
• Experience with SQL DB

Java Full Stack Developer

Experience required-4.5 to 7yrs

Mandatory Skills- Front end- HTML, CSS, Javascript, Angular/React

Back end- Java, Springboot/Node/Python, Any SQL/RDBMS, OS

Jenkins for Deployment

Requirements:

• Experience in system automation development
• Good proficiency in the following coding languages: Python, C#, AutoIT, Batch scripting, Shell scripting
• Strong knowledge in OOPS
• Worked on REST and automation of API requests
• Worked on Loggers and Config Parsers
• Knowledge of Power shell commands, wmic commands and Registry Editor
• Worked on test deployment frameworks like Jenkins
• Experience in configuring and building jobs using Shell/Bash/Python
• Hands-on experience with Tools like :
• Scripting: Python, Visual Studio
• Configuration files: INI and JSON
• Operating System: Windows, Linux
• Source code management: GIT and Gerrit
• CI/CD: Jenkins
• Ticketing and Management: JIRA, ServiceNow, Confluence
• Good Communication skill
• Good Analytical and Problem-solving skills