
Job Description
We are looking for a highly capable machine learning engineer to optimize our deep learning systems. You will be evaluating existing deep learning (DL) processes, do hyperparameter tuning, performing statistical analysis (logging and evaluating model’s performance) to resolve data set problems, and enhancing the accuracy of our AI software's predictive automation capabilities.
You will be working with technologies like AWS Sagemaker, TensorFlow JS, TensorFlow/ Keras/TensorBoard to create Deep Learning backends that powers our application.
To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in Deep Learning role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. To do this job successfully, you need exceptional skills in DL and programming.
Responsibilities
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Consulting with managers to determine and refine machine learning objectives.
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Designing deep learning systems and self-running artificial intelligence (AI) software to
automate predictive models.
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Transforming data science prototypes and applying appropriate ML algorithms and
tools.
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Carry out data engineering subtasks such as defining data requirements, collecting,
labeling, inspecting, cleaning, augmenting, and moving data.
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Carry out modeling subtasks such as training deep learning models, defining
evaluation metrics, searching hyperparameters, and reading research papers.
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Carry out deployment subtasks such as converting prototyped code into production
code, working in-depth with AWS services to set up cloud environment for training,
improving response times and saving bandwidth.
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Ensuring that algorithms generate robust and accurate results.
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Running tests, performing analysis, and interpreting test results.
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Documenting machine learning processes.
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Keeping abreast of developments in machine learning.
Requirements
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Proven experience as a Machine Learning Engineer or similar role.
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Should have indepth knowledge of AWS Sagemaker and related services (like S3).
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Extensive knowledge of ML frameworks, libraries, algorithms, data structures, data
modeling, software architecture, and math & statistics.
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Ability to write robust code in Python & Javascript (TensorFlow JS).
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Experience with Git and Github.
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Superb analytical and problem-solving abilities.
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Excellent troubleshooting skills.
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Good project management skills.
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Great communication and collaboration skills.
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Excellent time management and organizational abilities.
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Bachelor's degree in computer science, data science, mathematics, or a related field;
Master’s degree is a plus.

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We are seeking an energetic and driven B2B Food Ingredients Sales Executive to manage and grow customer relationships across the food ingredients ecosystem. This role involves working closely with clients in Bakery, Protein, Snacks, Premix, Beverages, RTD, RTE, QSR, and online food businesses. The incumbent will focus on introducing innovative ingredients and application concepts to both existing and prospective customers, contributing to sustainable business growth in alignment with company sales strategies.
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- Manage end-to-end sales activities by understanding customer needs, applications, and technical requirements.
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- Track market trends, competitor activity, and customer insights to deliver differentiated, value-added solutions.
- Convert sales budgets into clear, customer-focused action plans and measurable outcomes.
- Own and achieve assigned sales targets while ensuring a consistently high-quality customer experience.
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- Collaborate with internal teams such as marketing, R&D, and supply chain to deliver customized solutions and strengthen customer partnerships.
Requirements:
- Solid understanding of B2B sales within the food ingredients, food processing, or allied industries.
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- Ability to work independently, manage multiple accounts, and consistently meet or exceed targets.
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Additional Information:
- Freshers are welcome to apply for Mumbai and New Delhi locations.
- Male candidates only (as per company requirement).
Benefits:
- Clear career growth and continuous learning opportunities
- Collaborative, team-oriented, and engaging work culture
- Performance-based incentives and bonuses as per company policy
Qualifications:
- Proven experience in sales, preferably in a branding, marketing, or creative agency environment. Ideally 2-4 years
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- Excellent communication and presentation skills.
- Results-driven with a track record of meeting or exceeding sales targets.
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- Experience in programming languages such as Python, C/C++, JavaScript, or similar, as well as experience with IoT platforms like Arduino, Raspberry Pi, AWS IoT, or Azure IoT.
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Test Automation:
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- 2+ years of experience as a Test Automation Engineer or QA Engineer/Tester.
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Inside Sales Executive - Lead Generation
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Passionate and energetic inside sales personnel who can connect and engage with leads via outbound calls, set up appointments and communicate the company's brand identity.
2 years of inside calling experience around IT hardware and software sales
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Experience in market research, data mining and cold calling.
Generate new potential clients through cold calling, and social media platforms.
Communicating with the Organization heads and scheduling the appointments for product demos.
Self-motivated, and able to work independently and as a member of a remote team.
Proven ability to build and manage a sales pipeline and achieve targets
Market Research to identify new markets and prospects.
Excellent communication skills (presentation, verbal, and written)
Demonstrated expertise in building and maintaining client relationships
Good convincing ability and confident personality.
Data-driven approach towards the sales process.
Full understanding of the sales process from database generation to fixing the appointments.
Min 1 year of relevant experience in software/hardware sales
Strong communication and presentation skills.
Knowledge of lead generation and email hunting.
Excellent knowledge of search engines, web analytics and business research tools.
Adequate knowledge of data collection methods.
Strong analytical and critical thinking.
Good working knowledge of MS Word and Excel
Responsibilities
Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails
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Location: Mumbai & Nashik
Job Types: Full-time, Permanent, Temporary
Thanks for your time today, as discussed on call I am sharing you the JD for Insurance Profile.
Job description
Roles and Responsibilities
Meeting with clients.
Offering specialized financial guidance and advice.
Completing financial needs analysis.
Creating and explaining customized plans.
Utilizing knowledge of tax investment strategies.
Assessing clients' financial portfolios.
Analyzing clients' risk.
Encouraging clients to invest in the future.
Desired Candidate Profile
You should have a strong command of English and Hindi.
Preference would be given to those candidates who are from banking background experience.
Must have good knowledge in Insurance and good connections with agents.
Experience required 1-5 years.
Perks and Benefits
1. Chart a rapid career growth in a fast-paced start-up company.
2. Opportunity to be the core team member of the technology team.
3. Opportunity to work in an upcoming B2B2C Fintech start-up founded by IITians.
4. Stock options for high performers.
5. Health Insurance.
Location: HSR Layout, Sector-4, Bangalore
Notice Period: 1-15 days, Immediate Joiners
CTC: 3-8 LPA
Openings: 2
Relevant experience: 4-8 Years (Senior Profile)
Relevant Experience : 1-2 Years (Junior Profile)
Looking forward to hearing from you soon, any assistance would be needed. You can reach me out on the below contact details!
-7+ years of industry experience in Enterprise Product Development
-Experience developing and testing data structures and algorithms
-Strong Experience in Java and Typescript including object-oriented design
-Experience in agile methodologies such as Scrum
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ears of Exp: 3-6+ Years
Skills: Scala, Python, Hive, Airflow, SparkLanguages: Java, Python, Shell Scripting
GCP: BigTable, DataProc, BigQuery, GCS, Pubsub
OR
AWS: Athena, Glue, EMR, S3, RedshiftMongoDB, MySQL, Kafka
Platforms: Cloudera / Hortonworks
AdTech domain experience is a plus.
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The position requires for an individual to Develop high-volume, low-latency application for data
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