





DATA SCIENTIST-MACHINE LEARNING
GormalOne LLP. Mumbai IN
Job Description
GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.
Location: Bangalore
Roles & Responsibilities
- Individual contributor
- Developing and maintaining an end-to-end data science project
- Deploying scalable applications on different platform
- Ability to analyze and enhance the efficiency of existing products
What are we looking for?
- 3 to 5 Years of experience as a Data Scientist
- Skilled in Data Analysis, EDA, Model Building, and Analysis.
- Basic coding skills in Python
- Decent knowledge of Statistics
- Creating pipelines for ETL and ML models.
- Experience in the operationalization of ML models
- Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
- Hands-on experience in Keras, PyTorch or Tensorflow
Basic Qualifications
- Tech/BE in Computer Science or Information Technology
- Certification in AI, ML, or Data Science is preferred.
- Master/Ph.D. in a relevant field is preferred.
Preferred Requirements
- Exp in tools and packages like Tensorflow, MLFlow, Airflow
- Exp in object detection techniques like YOLO
- Exposure to cloud technologies
- Operationalization of ML models
- Good understanding and exposure to MLOps
Kindly note: Salary shall be commensurate with qualifications and experience

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About TensorIoT
- AWS Advanced Consulting Partner (for ML and GenAI solutions)
- Pioneers in IoT and Generative AI products.
- Committed to diversity and inclusion in our teams.
TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.
TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!
TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.
Job Description
At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.
What are the kinds of tasks Data Scientists do at TensorIoT?
As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client.
Minimum Requirements:
- Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.
- Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
- Hands-on experience in MLOps (model deployment, maintenance)
- Hands-on experience with Docker.
- Clear concepts of the following:
- - Supervised Learning, Unsupervised Learning, Reinforcement Learning
- - Statistical Modelling, Deep Learning
- - Interpretable Machine Learning
- Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
- Scientific & Analytical mindset, proactive learning, adaptability to changes.
- Strong interpersonal and language skills in English, to communicate within the team and with the clients.
Preferred Qualifications:
- PhD in the domain of Data Science / Machine Learning
- M.Sc | M.Tech in the domain of Computer Science / Machine Learning
- Some experience in creating cloud-native technologies, and microservices design.
- Published scientific papers in the relevant domain of work.
CV Tips:
Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following:
- Focus:
- More focus on technical skills relevant to the job description.
- Less or no focus on your roles and responsibilities as a manager, team lead, etc.
- Less or no focus on the design aspect of the document.
- Regarding the projects you completed in your previous companies,
- Mention the problem statement very briefly.
- Your role and responsibilities in that project.
- Technologies & tools used in the project.
- Always good to mention (if relevant):
- Scientific papers published, Master Thesis, Bachelor Thesis.
- Github link, relevant blog articles.
- Link to LinkedIn profile.
- Mention skills that are relevant to the job description and you could demonstrate during the interview / tasks in the selection process.
We appreciate your interest in the company and look forward to your application.

Job Role –
React Developer
Location- Hyderabad
Job Description-
• Develop end-to-end features (full stack) for users and be proficient with aspects of design and coding.
• Proficiency in automated testing/testing methodologies is a must.
• Create, maintain, and modify (where necessary) the data structure.
• Work with product owners to handle backlogs and new requests.
• Work on React projects using specifies tools and databases.
• Should have very good understanding of the technical approach and its viability.
• Should be able to push back and accurately assess the viability of their solutions.
• Should be comfortable adopting testing frameworks and developing with common industry practices such as test-driven development.
Person Specifications/ Requirements
• Good understanding and proven experience of web development and basic languages such as HTML and JavaScript.
• Strong programming experience.
• Must have experience with React.js, Node.js.
• Experience with Vue.js and Go is required.
• Strong understanding of software development tools, data structures and data modelling.
• Strong Data Analytical Skills.
• Should have Knowledge and experience of databases, e.g., MS SQL, MongoDB.
• Comfortable with optimizing your code and refactoring where necessary, researching ways to have responsive solutions.
• Good understanding of Test-Driven Development (TDD), including benchmarking and refactoring during the TDD process.
• Familiarity with popular authorization techniques such as JSON Web Tokens (JWTs) is required.
• Strong understanding of the software development lifecycle and awareness of commercial deadlines.
• Strong self-discipline and detail-oriented, important to meet client requirements in pressured timelines to a high quality.
• Bachelor's level business related qualification or 2+ years relevant experience in a similar environment.
• Strong understanding of the software development lifecycle.
• Strong verbal and written communications skills.
• Inquisitive, enthusiastic, passionate, and diligent.
• Keen to develop a broad range of business, technical and soft skills
ABOUT THE ROLE
We are looking for young dynamic individuals in the role of Operation and product support, who will be part of our Support Team in Hyderabad. The job will need a fair amount of technical knowledge about Web SaaS portals.
Job Responsibilities:
- Attend inquiries and resolve product or service problems by clarifying the customer's complaint via, email, online chat, helpDesk etc.
- Provide appropriate solutions and alternatives within the time limits and follow up to ensure resolution. Suggest or inform customers about the best practices. Identify and assess customers’ needs to achieve satisfaction by going the extra mile to engage customers.
- A certain degree of creativity, latitude, and problem- solving is required
- Coordinate with cross-functional teams to achieve the
- highest level of customer satisfaction.
- Streamline and expedite operational tasks, including inbound and outbound marketing.
- Follow communication procedures, guidelines, and policies.
REQUIREMENTS
- Experience of 1 year in customer service role handling customer support/technical queries.
- Excellent oral and written communication and people interaction skills.
- Hands-on experience with ticketing software like Freshdesk/Freshchat.
- Good analytical skills with active listening and attention to detail.
- Ability to multi-task, prioritize and manage time effectively.
- Work independently and own the raised matter till closure.
- Work experience in SAAS companies is an added advantage

Type, Location
Full-time, Remote
Desired Experience
2+ years
Roles and Responsibilities :
● A great JavaScript developer who is proficient with React.js (preferred).
● Your primary focus will be on developing user interface components and implementing
them following well-known React.js workflows (such as Flux or Redux).
● You will ensure that these components and the overall application are robust and easy to
maintain.
● You will coordinate with the rest of the team working on different layers of the
infrastructure. Therefore, a commitment to collaborative problem-solving, sophisticated
design, and a quality product is important.
● Generating error-free code and compliance with SOW
● Managing development processes & working notes
● Growing technical skills and being an active part of the technical transformation in the company
● When required manage client communication for projects assigned
● Reporting on project activities and ensuring timely completion of projects/assignments
● Guiding Jr. Developers for the completion of their work
Desired Candidate Profile
Primary Skills :
● Hands-on experience in React.js, HTML/CSS, JavaScript, and People Management.
Technical Support Manager
Full Time, Permanent
About Bizongo:
-
Good understanding and work experience with Linux, Java, Spring Boot, SQL, one of RDBMS Database
-
Good Understanding of AWS Infrastructure including EC2
Bizongo is featured in LinkedIn Top Startups 2019: The 25 hottest Indian companies to work for!
Working in Bizongo translates into being a part of a dynamic start-up with some of the most enthusiastic, hardworking and intelligent people in a fast paced and electrifying environment
Bizongo has been awarded as the most Disruptive Procurement Startup of the year - 2017
Being a company that is expanding itself every day and working towards exploring newer avenues in the market, every employee grows with the company
The position provides a chance to build on existing talents, learn new skills and gain valuable experience in the field of Ecommerce
- Understand the GST business
- Timely generation of invoices
- Communicate with clients
- Responsible for accounts receivables
- Maintenance of data, Data collation, submission of reports as required
- Coordinate with support team/domain team
Skills and Qualifications
- Good communication
- 2+ years’ experience in an operations management position
- Knowledge of general business software and aptitude to learn new applications; proficiency in Microsoft Office (Word, Excel, Outlook)



- Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
- Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”.
- Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models.
- Partner with data scientists to understand and implement machine learning algorithms.
- Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models.
- Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders.
- Mentor junior team members
Who we have in mind:
- Graduate in Computer Science or related field, or equivalent practical experience.
- 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
- Proficiency with SQL, Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
- Familiarity with deep learning frameworks such as TensorFlow or Keras
- Experience with Computer Vision (OpenCV), NLP frameworks (NLTK, SpaCY, BERT).
- Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering).
- Understand machine learning principles (training, validation, etc.)
- Strong hands-on knowledge of data query and data processing tools (i.e. SQL)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Experience deploying highly scalable software supporting millions or more users
- Experience building applications on cloud (AWS or Azure)
- Experience working in scrum teams with Agile tools like JIRA
- Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users



